/share/doc/psd/18.gprof/abstract.me

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  1. .\" Copyright (c) 1982, 1993
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  2. .\"	The Regents of the University of California.  All rights reserved.
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  5. .\" modification, are permitted provided that the following conditions
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  15. .\"	California, Berkeley and its contributors.
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  31. .\"
    32. 

  32. .\"	@(#)abstract.me	8.1 (Berkeley) 6/8/93
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  33. .\"
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  34. .sp 1
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  35. \fB\s+2gprof: a Call Graph Execution Profiler\s-2\fP\**
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  36. .(f
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  37. \**This work was supported by grant MCS80-05144
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  38. from the National Science Foundation.
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  39. .)f
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  40. .sp 1
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  41. by
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  42. \fISusan L. Graham\fP
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  43. \fIPeter B. Kessler\fP
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  44. \fIMarshall K. McKusick\fP
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  45. .sp 1
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  46. Computer Science Division
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  47. Electrical Engineering and Computer Science Department
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  48. University of California, Berkeley
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  49. Berkeley, California 94720
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  50. .ce 0
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  51. .sp 1
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  52. .sp 0.5i
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  53. .sh 0 "Abstract"
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  54. .pp
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  55. Large complex programs are composed of many small routines
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  56. that implement abstractions for the routines that call them.
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  57. To be useful, an execution profiler must attribute
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  58. execution time in a way that is significant for the 
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  59. logical structure of a program
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  60. as well as for its textual decomposition.
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  61. This data must then be displayed to the user
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  62. in a convenient and informative way.
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  63. The \fBgprof\fP profiler 
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  64. accounts for the running time of called routines
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  65. in the running time of the routines that call them.
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  66. The design and use of this profiler is described.
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